The development of large-scale video datasets such as Kinetics [1]} [2]}, Moments in Time [3]}, Something Something [4]}, EPIC-Kitchens-100 [5]}, etc., to mention a few, inspired video action recognition research significantly. Such datasets with varying properties, such as requirement of spatial reasoning [1]}, temporal reasoning [4]}, spatio-temporal reasoning [5]}, resulted in the development of a plethora of action recognition approaches. The development of recent large-scale datasets such as HowTo100M [9]}, HVU [10]}, Ego4D [11]}, etc., are expected to further video understanding research beyond simple tasks such as action recognition.
